Aditya Singh

Someone who loves to build.
Qualified in building both hardware and software.

[Aditya Singh @comeonaditya]

@startupindia Building something on this, you may like this. @DPIITGoI

[Aditya Singh @comeonaditya]

🚛 Building RoadSide Logistics — a smarter way to use unused truck capacity.

The idea started with a simple question:
Why should someone book an entire truck when another truck is already travelling toward the same destination with empty space?

RoadSide Logistics matches cargo with trucks already moving along compatible routes.
Link: https://t.co/Q3FanaoaGy
#buildinpublic #SaaS #logistics #webdevelopment #IndiaAhead

[Aditya Singh @comeonaditya]

@konig0000 The nervous system of autonomous system

[Aditya Singh @comeonaditya]

Built RideIntel ML — a ride-hailing ML platform that predicts fare, ETA, trip duration, and cancellation risk from real-world ride data. 🚗📊

🔗 Try it out here: https://t.co/bxRw2Zd4hl
Feedback and thoughts are welcome! 👇
#MachineLearning #DataScience #BuildInPublic #Python #WebDev #AI #IndiaTech

[Aditya Singh @comeonaditya]

@YeshodharaB What are you exactly looking in the person you want to hire

[Aditya Singh @comeonaditya]

One thing I’ve been observing on X lately:

A huge amount of the AI engineering conversation is around LangChain, LangGraph, RAG, agents, LLM applications, and similar technologies.

And that’s great.

But I rarely see the same level of conversation around Edge AI, robotics, autonomous systems, and the software infrastructure that connects them.

This makes me wonder:
What does the operating system for autonomous systems look like?

Not just a robot that can perform a task, but an entire ecosystem where robots can perceive, reason, communicate, navigate, coordinate, learn, and operate in environments where humans cannot easily go.

Think about long duration space missions.
I don’t think humans will be the first ones doing most of the construction, exploration, maintenance, and preparation on Mars or other harsh environments.

Robots will probably go first.
They could build infrastructure, map environments, transport materials, maintain systems, and prepare habitats before humans arrive.
That means we’ll need much more than individual AI models.

We’ll need autonomous systems infrastructure. The perception, compute, communication, control, coordination, and intelligence that acts as a kind of central nervous system for machines.

Maybe the next major wave of AI engineering won’t just be about making AI smarter.
Maybe it will be about making machines capable of operating in the physical world.
I’m genuinely surprised I don’t see more people talking about this.

Edge AI + Robotics + Autonomous Systems feels like a massive engineering frontier.

If you are building anything around this, ping me up.

[Aditya Singh @comeonaditya]

@konig0000 Hi

[Aditya Singh @comeonaditya]

@TheSuranaverse Hi 👋 Java backend engineer here — Spring Boot, REST APIs, Kafka event-driven pipelines, MySQL. Also comfortable in Python and looking to build deeper into ML/AI. Would love to connect!
Github : https://t.co/sDZgnoN96d

[Aditya Singh @comeonaditya]

It always feels good to be brain-storming. Coming up with something good. Stay tuned..

[Aditya Singh @comeonaditya]

@softwareduniyas Link

[Aditya Singh @comeonaditya]

Built something I’ve been working on for a while 🚚

I built a Logistics Data Engineering Platform that simulates how a delivery company can monitor and analyze its operations in real time.

It can:
• Generate & stream delivery data
• Track deliveries & detect delays
• Analyze routes, drivers & KPIs
• Run ETL with Airflow + dbt
• Store data in PostgreSQL
• Serve data through FastAPI
• Visualize everything in Streamlit
• Run entirely with Docker

The architecture is basically:
Data → Kafka → Python → PostgreSQL → dbt → FastAPI → Dashboard
This started as a Data Engineering project to understand how all these pieces actually work together in a real-world use case.
Will be improving it more.
Github : https://t.co/IKrlL8b8oM
#DataEngineering #Python #SQL #Kafka #Airflow #dbt #PostgreSQL #Docker